Papers propose verified synthetic web environments for agent training
Two arXiv papers propose generating verifiable synthetic web environments to improve agent training. AgentMercury synthesizes environments for business scenarios at scale, while another paper emphasizes trustworthy worlds with consistent states and feasible tasks.
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